OSIE-SR: This acronym stands for the “OSIE Saliency Re-annotated" (annotations of salient regions). The original OSIE dataset [1]} has 700 images with rich semantics. It contains eye movements of 15 subjects for each image recorded during free-viewing, and also has the annotated masks for objects in the image according to 12 attributes. For our analysis, we extract clusters of fixation locations, called salient regions.
We, then, manually annotate each salient region as belonging to one of the 12 saliency categories, including: person head, person part, animal head, animal part, object, text, symbol, vehicle, food, drink, plant, and other. Similar categories have been exploited in previous research ( [2]}, [1]}). Fig. REF  provides an example where each annotated region has a label according to its salient category. The re-annotated data is used to measure the association between inner representations (activation maps) in the deep model (pre-trained and fine-tuned) and each salient category.
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